Formulation of landslide risk scenarios using underground monitoring data and numerical models: conceptual approach, analysis, and evolution of a case study in Southern Italy

• Published in: Landslides 2019-05, Vol.16 (5), p.1043-1053
• Main Authors: Segalini, A., Carri, A., Grignaffini, C., Capparelli, G.
• Format: Article
• Language: English
• Subjects: Agriculture; Cables; Case studies; Civil Engineering; Constitutive models; Deformation; Earth and Environmental Science; Earth Sciences; Environmental risk; Evolution; Geography; Geomechanics; Geomorphology; Gravity; Groundwater; Highway safety; Inclinometers; Laboratories; Laboratory tests; Landslides; Landslides & mudslides; Lithology; Mathematical models; Microelectromechanical systems; Monitoring; Monitoring systems; Natural Hazards; Numerical models; Piezometers; Rain; Rainfall; Real time; Risk management; Sensors; Slope indicators; Slopes; Software; Solifluction; Technical Note; Traffic accidents & safety; Two dimensional models; Viscoelasticity; Water levels
• ISSN: 1612-510X; 1612-5118
• DOI: 10.1007/s10346-019-01137-3

Understanding the mechanism of a landslide and its evolution is of fundamental importance in the risk management process. This work introduces an articulated approach to the problem, applying it to a specific case in the south of Italy where a gravitational movement insists on a section of an important highway. In recent years, the site has been investigated from a geomorphological and a lithological point of view, and a comprehensive geomechanical characterization has been carried out by means of on-site and laboratory tests. The area has been instrumented with a monitoring system composed of automatic inclinometers, piezometers, a rainfall station, and time domain reflectometry (TDR) cables. These sensors have monitored the deformation processes and their correlation with groundwater fluctuation. A 2D finite differences model (FDM) of the slope has been created, calibrated, and validated through back analysis, carried out using the monitoring data available. A secondary creep phenomenon, barely influenced by the water level rise due to occasional rainfall, has been identified and modeled using the Burgers viscoelastic constitutive model. Variations in the piezometric level were introduced and their effect accounted for the numerical model refinement. Once the improvements had been completed together with the reproduction of past events, a predictive analysis was carried out in order to forecast the most probable slope behavior relative to the incoming year. At the end of this phase, the infrastructure supervisor should have information about possible deformations to be compared with the near real-time monitoring outcomes and design assumptions. This procedure allows real-time monitoring of the compatibility of slope deformations with highway safety.